Chandlers Rord Eastleigh, United Kingdom

A Jon Tyrrell

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2006.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 221(Granted Patents)


Company Filing History:


Years Active: 2006

Loading Chart...
1 patent (USPTO):Explore Patents

Title: A Jon Tyrrell: Innovator in Speech Recognition Technology

Introduction

A Jon Tyrrell is a notable inventor based in Chandlers Road, Eastleigh, GB. He has made significant contributions to the field of speech recognition technology. His innovative approach has led to the development of a patented method that enhances the adaptability of speech recognizers.

Latest Patents

Tyrrell holds a patent for a "Method and apparatus for phonetic context adaptation for improved speech recognition." This invention provides a computerized method and apparatus for automatically generating a second speech recognizer from a first one, which can be adapted to a specific domain. The first speech recognizer includes an acoustic model with a decision network and corresponding phonetic contexts. This model serves as a foundation for the adaptation process, allowing for the generation of a second acoustic model tailored to domain-specific training data.

Career Highlights

A Jon Tyrrell is associated with the International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and innovate within the realm of speech recognition, contributing to advancements that benefit various applications in technology.

Collaborations

Tyrrell has collaborated with notable colleagues such as Siegfried Kunzmann and Eric-W Janke. These partnerships have fostered an environment of innovation and creativity, leading to significant advancements in their respective fields.

Conclusion

A Jon Tyrrell's contributions to speech recognition technology exemplify the impact of innovative thinking in the tech industry. His patented methods continue to influence the development of more effective speech recognition systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…